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nutritional data into a user-friendly platform, enabling consumers, restaurants, and policymakers to make informed food choices and reduce diet-related emissions. Required knowledge Data analytics and software
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of an established university. Our Ideal Candidate As a Casual Academic, you'll have a minimum of an undergraduate degree, with a minimum GPA of 5.0, enrolment in a relevant postgraduate program (coursework or HDR
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management skills, with the ability to liaise effectively with a range of stakeholders. Experience working with a range of computer systems and applications, including spreadsheets, text editors and
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Technical literacy: Foundational understanding of computer networking, common operating systems, the software development lifecycle. Familiarity with common vulnerability databases (e.g., CVE/NVD). Experience
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and/or be based at other campuses of the University. Great benefits such as 17% Super, generous annual, personal and parental leave, Employee Assistance Program, Medical Hub on Campus, Novated Car
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Staff program On campus childcare options Affordable parking (from just $6.40 a day) Salary packaging options About You Bachelor's degree in computer science, Information Technology, Software engineering
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effectively in fast-paced, diverse, and high‑pressure environments Strong customer service skills, providing timely, accurate, and respectful support to students and program participants An interest in student
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teaching. The School offers undergraduate majors in computer science, information systems, data science and software development within its flagship Bachelor of Advanced Computing degree and combined degree
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to a multi-million-dollar university scholarships and prizes program. This program is committed to keeping students front and centre, removing financial barriers to students being able to access
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after them. This project aims to produce a user-friendly, clinically useful software program that can be adapted for use in any hospital, automatically predicts the risk of heart and other complications